Substance Detection via Appearance-Based Database Segmentation
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Solution Overview
Problem
Existing substance detection devices face inefficiencies due to limited computing power, particularly when dealing with large databases and multiple concurrent users, leading to slow detection speeds.
Innovation Solution
A method and apparatus that obtain spectral and image information of a substance, perform image recognition to determine appearance state, and match spectral information within a sub-database classified by appearance state, reducing comparison range and improving detection speed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the spectral database is made large to improve detection accuracy, then the detection precision is improved, but the computing and matching speed deteriorates
Solution Approach 1:
The patent divides the large spectral database into multiple sub-databases based on appearance states (solid, liquid, gas, powder, granular, etc.). This segmentation allows the system to first identify the appearance state of the unknown substance and then search only within the corresponding sub-database, dramatically reducing the search space and matching time while maintaining comprehensive detection coverage across all substance types
2Adaptability or versatility
If the database size is increased to cover more substance types, then the adaptability is improved, but the computing power requirement increases and detection efficiency deteriorates
Solution Approach 1:
The database is segmented into specialized sub-databases for different appearance states (solid, liquid, gas, powder, granular, etc.), allowing comprehensive substance type coverage while maintaining efficient targeted searches
Solution Approach 2:
The system performs preliminary classification of the unknown substance's appearance state before spectral matching. This preliminary action narrows down the search scope in advance, enabling the system to handle diverse substance types efficiently without exhaustive searching of the entire database
3Reliability
If the database is very large to improve detection comprehensiveness, then the reliability is improved, but the detection speed deteriorates under high concurrency
Solution Approach 1:
The large comprehensive database is divided into multiple smaller sub-databases organized by appearance state, allowing parallel processing and reduced memory access time while maintaining complete substance coverage for reliable detection
Solution Approach 2:
The appearance state classification is performed as a preliminary filtering step before spectral matching, reducing the data volume that needs to be processed during high-concurrency operations and improving system response time
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach significantly accelerates substance detection by narrowing the comparison range and enhancing efficiency, even with large databases and multiple users.
Implementation Method 1
a lens component, the lens component is used for collecting light emitted by the light source and collecting the scattered light of the light through a substance to be detected
Data Source
AI summary
A substance detection method and apparatus, and a detection device are provided. The method includes: obtaining spectral information and image information of a substance to be detected; performing image recognition according to the image information to obtain appearance state information of the substance to be detected; determining a sub-database matching the appearance state information in a preset spectral database according to the appearance state information, wherein the spectral database includes a plurality of sub-databases classified according to the appearance state of the substance; and matching the spectral information with the obtained spectral information in the sub-database to obtain a detection result of the substance to be detected.